Humbul Suleman

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Teesside University

United Kingdom

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Recent Grants

Grant: Close

A Novel, Environmental Friendly and Energy Efficient Absorption Process for Carbon Dioxide Capture from Process Streams

Open Date: 2018-12-01

Close Date: 2020-11-01

Grant: Close

Synthesis, Phase Equilibrium Study and Modeling Of Piperazine Activated Aqueous Salt Solutions of Lysine and Arginine for Carbon Dioxide Capture

Open Date: 2016-11-01

Close Date: 2019-10-01

Articles (16)

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2025

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2022

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2022

Collaborators (4)

Israf Ud Din

SAUDI ARABIA

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Rizwan Nasir

SAUDI ARABIA

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Faizan Ahmad

Teesside University

UNITED KINGDOM

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Danial Qadir

Teesside University

UNITED KINGDOM

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Humbul Suleman

Research Interests

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Contact this professor

Recent Grants

Articles (16)

Alkaline salts of L-lysine as green solvents for direct air capture: Characterisation and performance analysis

Hydrogen technologies and policies for sustainable future: a review

Passive Direct Air Capture of Carbon Dioxide with an Alkaline Amino Acid Salt in Water-Based Paints

Application of machine learning on hydrate formation prediction of pure components with water and inhibitors solution

CCUS: The Road to Net-Zero

Neural network-based correlation and statistical identification of data outliers in H2S-alkanolamine-H2O and CO2-alkanolamine-H2O datasets

Effect of Mixing Technique on Physico-Chemical Characteristics of Blended Membranes for Gas Separation

Predicting Gas Hydrate Equilibria in Multicomponent Systems with a Machine Learning Approach

Optimizing the Air Conditioning Layouts of an Indoor Built Environment: Towards the Energy and Environmental Benefits of a Clean Room

Interfacial Tailoring of Polyether Sulfone-Modified Silica Mixed Matrix Membranes for CO2 Separation

Carbon Capture and Utilization: A Bibliometric Analysis from 2007–2021

Ultrasonic-Assisted Extraction of Toxic Acidic Components from Acidic Oil Using 1,8-Diazobicyclo[5.4.0]undec-7-ene-Based Ionic Liquids

A multi-layer perceptron neural network model for predicting the hydrate equilibrium conditions in multi-component hydrocarbon systems

Multiparameter Neural Network Modeling of Facilitated Transport Mixed Matrix Membranes for Carbon Dioxide Removal

Multiscale Principal Component Analysis-Signed Directed Graph Based Process Monitoring and Fault Diagnosis

Review of Multiscale Methods for Process Monitoring, With an Emphasis on Applications in Chemical Process Systems

Collaborators (4)

Israf Ud Din

Rizwan Nasir

Faizan Ahmad

Danial Qadir

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